Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
Scoutfield Logo

See all jobs on Scoutfield

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
KNOREX

Senior Data Scientist – AdTech

KNOREX

. Develop, maintain, and optimize machine learning models, particularly CTR/CVR prediction.

Posted 11/6/2026full-timeHo Chi Minh City • VietnamSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing and optimizing machine learning models, particularly in CTR/CVR prediction, while effectively translating business objectives into actionable ML solutions. Strong analytical skills and experience in collaborating with cross-functional teams to drive measurable business impact.

Highest-signal resume keywords
Machine Learning Model DevelopmentPython ProficiencyExperience in AdTech or FinTechML Algorithms and Feature EngineeringA/B Testing and Model Calibration

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Machine LearningModel EvaluationFeature EngineeringOptimizationData AnalysisCTR PredictionCVR PredictionCPA OptimizationLarge-Scale Data ProcessingProduction ML Systems
Soft Skills
Analytical Problem-SolvingGood English CommunicationCollaboration Skills
Tools & Technologies
Scikit-learnXGBoostLightGBMRTBLLMsAI Coding Assistants
Industry Keywords
AdTechFinTechOnline ExperimentationModel CalibrationBusiness KPIs

Tech Stack

Tools & technologies
PythonScikit-Learn

About the role

Key responsibilities & impact
  • Develop, maintain, and optimize machine learning models, particularly CTR/CVR prediction.
  • Understand business objectives and translate them into actionable ML solutions that deliver measurable impact.
  • Analyze advertising performance, investigate anomalies, and identify opportunities for improvement.
  • Design experiments and evaluate model effectiveness using ML metrics and business KPIs.
  • Own existing ML projects, ensuring their continuous improvement and reliability in production.
  • Collaborate with Data Scientists, Engineers, and business teams to drive ML initiatives.

Requirements

What you’ll need
  • 4+ years of experience in Data Science or Machine Learning, preferably with production ML experience.
  • Experience solving real-world ML problems in AdTech, FinTech, or similar domains, particularly involving incomplete, delayed, or biased labels.
  • Strong knowledge of ML algorithms, feature engineering, model evaluation, and optimization.
  • Proficiency in Python and ML frameworks such as Scikit-learn, XGBoost, or LightGBM.
  • Strong business understanding and analytical problem-solving skills, with the ability to connect ML solutions to business outcomes.
  • Ability to independently own ML projects, investigate issues, and drive improvements.
  • Good English communication and collaboration skills.
  • Experience in RTB, CTR/CVR prediction, or CPA optimization preferred.
  • Knowledge of A/B testing, model calibration, and online experimentation preferred.
  • Experience with large-scale data processing and production ML systems preferred.
  • Familiarity with LLMs and AI coding assistants preferred.

Benefits

Comp & perks
  • Competitive remuneration package including quarterly bonus and performance review opportunities.
  • Full participation in mandatory insurance programs in accordance with Vietnamese Labor Law.
  • Healthcare insurance package and annual health check-up.
  • Comprehensive benefits scheme such as W3F (Work, Wellbeing, Welfare) Fund for courses, materials, personal health and wellbeing.
  • Work from home benefits.
  • Opportunity to influence and drive changes; good ideas are welcomed.
  • Great learning opportunities with exposure to cutting-edge performance marketing and advertising technology.
  • Opportunity to work cross-country and with a variety of projects of a different nature.